The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 10 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Stebbings: Small VC Platform Hires Are Ineffective Compared to Top Firms
“Andreessen have hundreds. They're actually very deep across every segment of hiring, across every segment of B to B customer acquisition. They are a machine. Insight is the same. We have Insight who've done our companies, and it is a machine that they roll in.…”
Lemkin: Mobile app creation quintupled in late 2025 due to vibe coding
“At the end of last year, just all of a sudden the number of mobile apps like quintupled at the end of last year because of vibe coding, and it's just starting.”
Lemkin: Multi-stage seed without Series A preemption is a severe negative signal
“It's a huge signaling problem. Of course, if Sequoia or Accelerant recent or Lightspeed has two years of data and they don't preempt the A, of course it's a problem. Of course it's a bad signal.”
Amble: AI-First SaaS Startups Are Narrowing to Specific Verticals
“What we are seeing is a lot of companies who are building AI first SaaS applications start to narrow down either on a use case or a market versus being more horizontal.”
Amble: Standalone AI Products Require Direct Founder-Driven Energy to Differentiate
“If you're launching an AI product, a standalone product, or it's not just like the feature top up saying summarization or autocomplete, but it's really a standalone product. You really do need that like founder level engagement and drive to push the product fo…”
Amble: Most a16z SaaS Portfolio Companies Choose Main-Branch Foundation Models
“Making your life easier and getting most of the benefits of AI by staying on the main branch is where we are right now. And so that's like what we're seeing resonating with more of our companies.”
Gabrisko: Databricks won early enterprise clients via a16z CIO briefing forums
“And A-sixteen Z, they have a lot of those kind of go to market motions where they'll set up basically a forum for you to present to large enterprises. I know not everybody has maybe a VC backer, but those programs are incredibly valuable. Sometimes people like…”
a16z invested $1M pre-seed without requiring Browder to leave Stanford
“I made a special deal with Andreessen Horowitz where they would invest a million dollars in the kind of pre-seed, but I wouldn't have to drop out.”
Shen: Top-quartile public SaaS multiples fell from 24x to 8x revenue
“And if you look at the top quartile at the peak, so the top 25% of SaaS and cloud companies in the public markets, they're trading at 24 times revenue. Over the last, ah, nine or 10 months, that has now dropped to eight times. That is one-third of what they us…”
The median a16z portfolio burn multiple for $0-10M ARR is 1.6
“Here this data set comes from Andreessen Horowitz, and you can see the typical numbers that they can see here in their portfolio for different revenue bands, and as you can see, the median for them in the zero to ten million ARR range is 1.6”